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Proceedings Paper

Compressive sensing for active imaging in SWIR spectral range
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Paper Abstract

Compressive sensing (CS) is an imaging method that enables the replacement of expensive matrix detectors by small and cheap detectors with one or a few detector elements. A high-resolution image is realized from a series of individual single-value measurements. Each measurement consists of capturing the image from an object or a scene after coding by a well-defined pattern. The reconstruction of the high-resolution image requires a number of measurements significantly smaller than the number of full-frame image pixels. This is because most natural images may be sparsely coded, i.e. we may find an appropriate basis for which most coefficients are close to zero. This paper reports CS experiments under pulse laser illumination at 1.55 μm. The light collected from the observed scene is spatially modulated using a digital micromirror device (DMD) and projected onto a single-pixel detector. The applied binary patterns are generated using a Hadamard matrix. Different approaches for pattern selection have been implemented and compared.

Paper Details

Date Published: 9 October 2018
PDF: 7 pages
Proc. SPIE 10796, Electro-Optical Remote Sensing XII, 107960A (9 October 2018); doi: 10.1117/12.2325377
Show Author Affiliations
Gabriela Paunescu, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Peter Lutzmann, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Daniel Wegner, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)


Published in SPIE Proceedings Vol. 10796:
Electro-Optical Remote Sensing XII
Gary Kamerman; Ove Steinvall, Editor(s)

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